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Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension
Assessing landform vulnerability to soil erosion is crucial for improved sustainable land use planning and management. In the Loess Plateau of the Northern Shaanxi Province of China, soil erosion has been reported as a major threat to sustainable land management and impacts on driving the socio-econ...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187255/ https://www.ncbi.nlm.nih.gov/pubmed/34141915 http://dx.doi.org/10.1016/j.heliyon.2021.e07125 |
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author | Kabo-bah, Kamila J. Guoan, Tang Yang, Xin Na, Jiaming Xiong, Liyang |
author_facet | Kabo-bah, Kamila J. Guoan, Tang Yang, Xin Na, Jiaming Xiong, Liyang |
author_sort | Kabo-bah, Kamila J. |
collection | PubMed |
description | Assessing landform vulnerability to soil erosion is crucial for improved sustainable land use planning and management. In the Loess Plateau of the Northern Shaanxi Province of China, soil erosion has been reported as a major threat to sustainable land management and impacts on driving the socio-economic benefits that can be accrued from the landforms. Several studies especially on Erosion Potential Mapping (EPM) in the region have been conducted but the role of the fractal dimension (FD) of the terrain features has been limited. In this study, the paper assessed the role of fractal terrain features on the overall EPM. The Analytical Hierarchical Process (AHP) was adopted using 6 criteria, FD of the terrain, Land Use Land Cover, Slope, Elevation, Geomorphology and Flow Accumulation. These were developed in a Geographic Information System (GIS) framework. Eight Scales (8) were evaluated in order to select the best Scale with the lowest Consistency Ratio (CR) and the Minimum Relative Error (MRE). The results from this study shows that fractal features of terrain when integrated with the rest of the criteria produced a reliable EPM for the study area. The absence of the FD also gives unrealistic results for the EPM. The EPM with FD distribution recorded 29.4% for low erosion potential whereas EPM without FD recorded 46.7%. A larger portion of the Shaanxi province (70%) is found to be at a higher risk of erosion. Therefore, it is hoped that the findings from this research would further boost the integration of fractals into EPM in China and similar regions across the World. The study further recommends that sustainable soil management measures are put in place to reduce the erosion risk in the province to protect the natural ecological habitat. |
format | Online Article Text |
id | pubmed-8187255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81872552021-06-16 Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension Kabo-bah, Kamila J. Guoan, Tang Yang, Xin Na, Jiaming Xiong, Liyang Heliyon Research Article Assessing landform vulnerability to soil erosion is crucial for improved sustainable land use planning and management. In the Loess Plateau of the Northern Shaanxi Province of China, soil erosion has been reported as a major threat to sustainable land management and impacts on driving the socio-economic benefits that can be accrued from the landforms. Several studies especially on Erosion Potential Mapping (EPM) in the region have been conducted but the role of the fractal dimension (FD) of the terrain features has been limited. In this study, the paper assessed the role of fractal terrain features on the overall EPM. The Analytical Hierarchical Process (AHP) was adopted using 6 criteria, FD of the terrain, Land Use Land Cover, Slope, Elevation, Geomorphology and Flow Accumulation. These were developed in a Geographic Information System (GIS) framework. Eight Scales (8) were evaluated in order to select the best Scale with the lowest Consistency Ratio (CR) and the Minimum Relative Error (MRE). The results from this study shows that fractal features of terrain when integrated with the rest of the criteria produced a reliable EPM for the study area. The absence of the FD also gives unrealistic results for the EPM. The EPM with FD distribution recorded 29.4% for low erosion potential whereas EPM without FD recorded 46.7%. A larger portion of the Shaanxi province (70%) is found to be at a higher risk of erosion. Therefore, it is hoped that the findings from this research would further boost the integration of fractals into EPM in China and similar regions across the World. The study further recommends that sustainable soil management measures are put in place to reduce the erosion risk in the province to protect the natural ecological habitat. Elsevier 2021-06-05 /pmc/articles/PMC8187255/ /pubmed/34141915 http://dx.doi.org/10.1016/j.heliyon.2021.e07125 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Kabo-bah, Kamila J. Guoan, Tang Yang, Xin Na, Jiaming Xiong, Liyang Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension |
title | Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension |
title_full | Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension |
title_fullStr | Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension |
title_full_unstemmed | Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension |
title_short | Erosion potential mapping using analytical hierarchy process (AHP) and fractal dimension |
title_sort | erosion potential mapping using analytical hierarchy process (ahp) and fractal dimension |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187255/ https://www.ncbi.nlm.nih.gov/pubmed/34141915 http://dx.doi.org/10.1016/j.heliyon.2021.e07125 |
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